We use the DollarStreet dataset [1]} and benchmark protocol [2]} for evaluating the disparity in object recognition accuracy in different parts of the world.
The dataset is composed of \(16,073\)  images from 289 households of varying income levels, representing 94 concepts across 54 countries over 4 regions of the world.
The data distribution per country and per region is shown in Appendix Fig. REF .
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